Data Engineer

As a Data Engineer, your typical day will include meetings with colleagues in the business who are seeking solutions to data challenges and to understand their requirements. Your overall focus will be to improve the availability and quality of existing data and to create a high-quality architecture as a basis for the sustainable implementation of AI use cases. How You'll Make an Impact As a data engineer, you work in an interdisciplinary team with data scientists and business professionals to foster a data-driven company culture approach and help to implement machine learning and AI use cases. Support business professionals in use case refinements to identify promising use cases with high business impact. Collection, maintenance, preparation, enrichment, validation, and distribution of data. Support staff in data acquisition techniques and ensure proper data collection/storage for administrative processes and on-site. Plan and create a suitable system infrastructure for applications for analysis. Design and configuration of robust data sets and databases. Maintain and develop existing data infrastructure. Support conception and provision of a system architecture. Build up deep knowledge with Snowflake model. What You Bring Must have University degree in computer or data science or related field. Knowledge of Snowflake SQL Scripting, Alteryx, SnapLogic. Knowledge in building End-to-end data pipeline. Experience in data migration. Intercultural communication and collaboration skills. Agile mindset and organizational/planning skills with the ability to work on multiple complex projects. Willingness to travel with a focus on central Europe (~30%). Very good English skills. Good to have added advantage: Ideally having a track record and/or experience in data acquisition techniques. Experience in DevOps and Familiar and GitLab for CICD. Experience with MS Power Automate. Experience and interest in data science and data analytics. Experience and interest in Machine learning and AI. #J-18808-Ljbffr